Postdoc research position LC-MS/MS data preprocessing and statistical analysis (216165) Organisation The Faculty of Mathematics and Natural Sciences harbours a kaleidoscope of disciplines and research strengths. Our programmes in research and education range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to marine biology. Our researchers pursue fundamental key questions while collaborating with partners from industry, the medical world and other realms of society. Frontline research groups explore new fields such as synthetic biologyand sustainable energy use. Job description Development of single-stage LC-MS/MS data preprocessing and statistical analysis approaches for risk assessment of mycotoxin exposure through dietary intake in Qatar. This postdoctoral position is embedded within the interdisciplinary research groups of Analytical Biochemistry/Department of Pharmacy1 at the Faculty of Mathematics and Natural Science of the University of Groningen (RUG). Mycotoxins are the most ubiquitous carcinogenic contaminant in the human food supply leading to adverse consequences on human population such as hepatocellular carcinoma. Mycotoxin concentrations are regularly measured in food but their impact on human population health remain unclear. The aim of this project is to perform risk assessment of mycotoxin exposure of Qatar population through dietary intake in collaboration with scientists of the Anti Doping Lab Qatar2. In the research project the postdoctoral scientist is expected i) to develop and implement novel single stage, data dependent and data independent LC-MS(/MS) data pre-processing workflows based on Threshold Avoiding Proteomics3 pipeline and other open source tool such as OpenMS4, XCMS5 and mzMine6, and ii) statistical analysis of obtained molecular profile for mycotoxin exposure in pilot animal study and in human population and iii) perform risk assessment of human population in Qatar based on obtained data. The successful candidate will strongly benefit from working in a highly interdisciplinary research team composed of clinical researchers, analytical chemists, bioinformaticians and statisticians. The Analytical Biochemistry group has an excellent scientific infrastructure and track record in proteomics, proteogenomics and computational Mass Spectrometry1. Qualifications The candidate should have a strong background in mathematics and statistics and should have strong experience in C++, Matlab and/or R programming. Experience with data analysis in mass spectrometry would be a significant advantage. The candidate should be able to work in an interdisciplinary and multinational research team and have good communication skills. Conditions of employment The University of Groningen offers a salary that is determined in accordance with the rules as set out in the collective labour agreement for the Dutch Universities (CAO) and has a range between € 3,044 and € 3,997 (scale 10 Dutch Universities) gross per month depending on qualifications and experience based on a fulltime position. The position is temporary for one year. After a positive successful evaluation in the first year, the contract will be extended by 1.5 year. The University of Groningen offers an excellent research infrastructure and training programme to develop research skills of the successful candidate. Link references: 1 http://www.biomac.nl 2 http://adlqatar.net/ 3 Suits F, Hoekman B, Rosenling T, Bischoff R, Horvatovich P., Threshold-avoiding proteomics pipeline, Anal Chem. 2011, 15;83(20):7786-94. 4 Bertsch A, Gröpl C, Reinert K, Kohlbacher O., OpenMS and TOPP: open source software for LC-MS data analysis, Methods Mol Biol. 2011;696:353-67. 5 Mahieu NG, Genenbacher JL, Patti GJ., A roadmap for the XCMS family of software solutions in metabolomics, Curr Opin Chem Biol., 2016, 30:87-93. 6 Pluskal T, Castillo S, Villar-Briones A, Oresic M., MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data, BMC Bioinformatics. 2010, 11:395. Additional information and sending in of applications Applications with curriculum vitae and the names of three former or present supervisors who can be contacted as references should be sent until 14 July / before 15 July 2016 Dutch local time by means of the application form (click on the link below). Unsolicited marketing is not appreciated. Information For information you can contact: · Prof. P.L. Horvatovich, +31 50 3633341, p.l.horvatovich@rug.nl (please do not use for applications) *Apply <http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?reply=00347-02S0004ZFP>* or direct link: http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?reply=003... -- Peter Horvatovich Associate Professor University of Groningen Faculty of Mathematics and Natural Sciences Department of Pharmacy Analytical Biochemistry Building 3226, Room 6.9 Antonius Deusinglaan 1 9713 AV Groningen Internal Zip Code XB20 P.O. Box 196 9700 AD Groningen The Netherlands Telephone: +31-(0)50-363 3341 Fax: +31 (0)50 363 7582 Mobile: +31 (0)6 2459 7203 Email: p.l.horvatovich@rug.nl Homepage: www.biomac.nl